2 papers
eess.SP2020
Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks
Matthew DelVecchio, Vanessa Arndorfer, William C. Headley
Adversarial evasion attacks have been very successful in causing poor performance in a wide variety of machine learning applications. One such application is radio frequency spectr…
eess.SP2020
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Matthew DelVecchio, Bryse Flowers, William C. Headley
Recent work has shown the impact of adversarial machine learning on deep neural networks (DNNs) developed for Radio Frequency Machine Learning (RFML) applications. While these atta…